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README.md

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 The dataset contains synchronized movement intent data collected from a grid training environment designed for simulated 
 BCI research. Dataset for multi-label classification of WASD movement intents from 12 simulated EEG channels in grid environment. 
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-*Simulated data for Intent testing, does not use real Neuralink/BCI hardware signals.*
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 This BCI Intent Data Study (conceptual early design) is for training machine learning models for neural signal decoding without needing 
 large scale real hardware BCI datasets, addressing data scarcity and privacy issues around BCI intent studies.
 
+*Simulated data for synthetic Intent testing, does not use real Neuralink/BCI hardware signals.*
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 # RL/ML user input intent data:
 
 ML: Supervised decoding of motor intents (e.g., DNNs, classifiers) for cursor/game control, stroke rehab, ADHD treatment.